HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks

MLA

Nguyen, Minh-Duong, et al. “HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks.” IEEE Transactions on Mobile Computing, vol. 22, no. 11, Nov. 2023, pp. 6495–507. EBSCOhost, https://doi.org/10.1109/TMC.2022.3190510.

APA

Nguyen, M.-D., Lee, S.-M., Pham, Q.-V., Hoang, D. T., Nguyen, D. N., & Hwang, W.-J. (2023). HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks. IEEE Transactions on Mobile Computing, 22(11), 6495–6507. https://doi.org/10.1109/TMC.2022.3190510

Chicago

Nguyen, Minh-Duong, Sang-Min Lee, Quoc-Viet Pham, Dinh Thai Hoang, Diep N. Nguyen, and Won-Joo Hwang. 2023. “HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks.” IEEE Transactions on Mobile Computing 22 (11): 6495–6507. doi:10.1109/TMC.2022.3190510.